Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.09117.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T04:47:30.366749Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:43:05.849259Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 88c84e75-e3bf-4e02-9c0d-9be1286d50b3 · inbound
Masked Autoencoders Are Effective Tokenizers for Diffusion Models cites this paper.
Masked Autoencoders Are Effective Tokenizers for Diffusion Models MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:47:30.366749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cc0ecfc-1e53-43d2-ab8b-eca38efb213d · inbound
Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation cites this paper.
Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:43:05.895490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b90c1fea-d017-40a4-8b86-c7722c51034b · inbound
MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval cites this paper.
MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:27:30.136040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.